Category Archives: Digital Marketing

Which AI Software is Right for Your Business? An In-Depth Look

Artificial Intelligence
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In the rapidly evolving world of tech, AI emerges as a crucial innovation catalyst, offering businesses worldwide groundbreaking advantages. The proliferation of AI platforms provides organizations with the tools to leverage AI’s power, yet the sheer variety complicates the selection process for tech developers and business leaders. Assessing these platforms’ strengths, weaknesses, user experience, scalability, and integration potential is essential. Our guide offers a detailed comparison of leading AI software platforms to support you in choosing one that best aligns with your strategic objectives.

Amazon AI Services

Amazon Q AI

Features: Amazon AI, central to AWS, delivers a comprehensive suite of AI tools for various industries, featuring Amazon Lex for chatbots, Recognition for image/video processing, Polly for speech synthesis, SageMaker for easy model building, and Forecast for accurate time-series forecasting. This cohesive ecosystem is designed to meet a wide range of business needs.

Pros: Amazon AI Services excels by providing scalable, deep learning technologies that enable businesses to start small and grow efficiently. Their pay-as-you-go pricing ensures cost-effectiveness, aligning expenses with usage. This advantage, supported by AWS’s extensive infrastructure, makes Amazon AI an essential tool for competitive innovation without large initial investments.

Cons: The breadth of Amazon AI’s offerings, while beneficial, can be daunting for beginners, and integrating with non-AWS systems can be complicated. This highlights the need for strategic planning when adopting Amazon AI, especially for businesses not already utilizing AWS.

Primary Programming Languages: Python, Java, JavaScript, C++, Go

TensorFlow

TensorFlow

Features: TensorFlow shines in AI with its support for complex deep-learning tasks. Its flexible architecture allows use across multiple computing platforms via a unified API, widening its usability. TensorBoard, a key feature, provides a visual representation of models’ performance, simplifying the process of debugging and optimizing machine learning projects. 

Pros: TensorFlow excels as a powerful, open-source AI framework perfect for large-scale computations and complex AI projects. It provides numerous pre-built models and efficient processes, significantly reducing development time. Backed by a vibrant community and continuous updates, its compatibility with Google Cloud further boosts its scalability and ease of deployment, making it a premier choice in the AI sector.

Cons: TensorFlow’s complexity and extensive capabilities can be daunting for machine learning novices, requiring a solid foundation in math and coding. It’s more suited for experts or large-scale projects due to its rich feature set and scalability. Beginners might find the learning curve steep, emphasizing the need for thorough evaluation based on the project’s scale and complexity to avoid unnecessary hurdles.

Primary Programming Languages: Python, C++

Microsoft Azure AI

Azure AI

Features: Microsoft Azure AI uses AI to transform business processes and customer interactions. It employs Azure Cognitive Services for comprehensive data analysis and Azure Machine Learning for easier model development. Azure Bot Services introduces intelligent bots for improved customer service. Combined, these tools create a powerful AI ecosystem for business innovation.

Pros: Microsoft Azure AI excels in its seamless integration within the Microsoft ecosystem, facilitating easier AI adoption through its user-friendly interface and compatibility with widely used software such as Office 365 and Dynamics 365. It significantly lowers the barrier to AI entry with the Azure Machine Learning Studio’s no-code/low-code options, all while maintaining high standards of security, compliance, and scalability.

Cons: Microsoft Azure AI’s tight integration with its own ecosystem may limit flexibility and third-party service compatibility, presenting a hurdle for those seeking extensive customization. Its wide but complex array of offerings might also be daunting for AI novices, possibly requiring significant training or external support.

Primary Programming Languages: Python, C#, C++, JavaScript/Node.js, Java, and TypeScript

Petuum

Petuum

Features: Petuum revolutionizes AI with its specialized operating system, crafted for modern AI demands. It democratizes AI, ensuring it’s easily adaptable for various industries. Central to its innovation is making AI software industrial-scale, streamlining everything from creation to deployment. Its scalable, hardware-independent design offers flexibility in AI deployment, setting new industry standards.

Pros: Petuum offers a unique approach to AI adoption with its scalable platform, hardware-agnostic design, and easy IT integration. These features cater to businesses of any size, provide deployment flexibility, and facilitate smooth technology transitions, making advanced AI applications more accessible across various industries.

Cons: Petuum’s innovative AI framework faces adoption barriers due to its new market presence and smaller community. Its distinctive platform struggles without a strong ecosystem or the reliability established by competitors. The lack of community support and integration options hinders easy innovation, while its specialized system may overwhelm newcomers, especially those with limited resources.

Primary Programming Languages: C++

Oracle Cloud Infrastructure (OCI) AI Services

Oracle AI

Features: OCI AI Services streamline business processes by integrating AI and machine learning, enabling effective data analysis, pattern recognition, and predictive modeling under one ecosystem. This integration allows for swift implementation and operational upgrades, minimizing the need for external support and manual coding. OCI AI Services’ cloud-based design further enhances its scalability.

Pros: OCI AI Services notably excels in security, safeguarding client data with advanced measures. They also offer high-performance computing for complex AI tasks and seamlessly integrate with Oracle’s ERP solutions, enhancing operational efficiency and decision accuracy.

Cons: Oracle’s OCI AI services may be too costly and intricate for small businesses or those on limited budgets. Its complex platform can also be less intuitive compared to competitors, making it difficult for newcomers to exploit its full AI and machine learning potential without substantial training. This aspect might deter organizations from looking for a simpler AI solution.

Primary Programming Languages: Python, Java, JavaScript, GO, C++

DataRobot

DataRobot AI

Features: DataRobot revolutionizes data science with a platform that makes analysis and model development straightforward. It supports a wide range of machine learning algorithms, enabling users to create and deploy predictive models without extensive technical knowledge. This accessibility empowers both data experts and business analysts alike, streamlining data science processes.

Pros: DataRobot’s chief benefit lies in its advanced AutoML technology, speeding up the creation of models for precise predictions. It emphasizes understanding the model-building process through detailed explanations of its decisions, fostering transparency and trust essential for businesses to justify their data-driven choices to stakeholders.

Cons: However, DataRobot’s advanced features could be cost-prohibitive for small businesses or those with tight budgets. Additionally, its comprehensive toolkit may exceed the needs of organizations with simpler data science requirements, making it an expensive choice for basic projects.

Primary Programming Languages: Python, R, Java, JavaScript, R, SQL

Tencent

Tencent

Features: Tencent leverages AI to boost business and consumer interactions through web services. Key focuses include facial recognition for enhanced security, natural language processing to improve communication, and cutting-edge online payment systems for better digital commerce efficiency and engagement.

Pros: Tencent’s AI services stand out due to their robust data handling and innovative applications, such as AI-driven gaming and digital content. These capabilities are crucial in our data-centric world, providing Tencent a competitive edge by optimizing data analysis and expanding AI’s potential in entertainment.

Cons: Tencent’s AI solutions, while robust within China, may face challenges in global markets due to their local focus. The customization for China’s unique environment can complicate international adoption, requiring significant modifications to align with different market requirements and regulations.

Primary Programming Languages: C++, Java, JavaScript, Python, Go

PredictionIO

PredicitionIO

Features: PredictionIO shines in the AI and machine learning field with its open-source server, giving developers full reign for more flexible AI application management and deployment. It seamlessly meshes with existing apps, bolstered by a strong community that enriches its resources with practical insights and constant updates.

Pros: PredictionIO is notably adaptable and cost-effective, perfect for startups and tech enterprises looking to economically incorporate AI capabilities. Its compatibility with a wide range of data sources and software, combined with a strong, community-driven support system, streamlines AI integration and fosters innovation.

Cons: PredictionIO might not meet the needs of organizations looking for an extensive AI solution. Its feature set, while broad, doesn’t match the depth offered by giants like Google, Amazon, or IBM, which deliver advanced deep learning, analytics, and tailored services.

Primary Programming Languages: Scala, Python, Java

IBM Watson

IBM Watson

Features: IBM Watson represents a pinnacle of innovation in AI, designed for enterprises. It offers a wide-ranging suite of AI services, including language processing and data analysis. In addition to language processing and data analysis, IBM Watson’s suite of AI services extends to visual recognition, enabling businesses to interpret and analyze images and videos for various applications. This capability is particularly beneficial in sectors such as retail, where it can enhance customer engagement through personalized recommendations based on visual cues.  Its diverse capabilities enable businesses in healthcare, finance, and beyond to enhance efficiency, gain insights, and personalize customer experiences, transforming industries with actionable data.

Pros: IBM Watson’s strength lies in its enterprise-focused AI solutions, designed to solve specific business challenges with industry-specific tools, backed by IBM’s trusted, decades-long legacy in technology.

Cons: IBM Watson’s complex AI features and comprehensive interface may pose challenges for newcomers and small businesses. The detailed integration process requires significant time and technical knowledge, potentially hindering those without extensive resources.

Primary Programming Languages: Python, Java, JavaScript/Node.js

Wipro Holmes

Features: Wipro Holmes leverages AI to enhance productivity and customer satisfaction through hyper-automation and cognitive computing. It streamlines complex tasks across infrastructure and maintenance, promoting the transition to automated enterprise environments. This evolving solution fosters continuous innovation and efficiency with reduced manual efforts.

Pros: Wipro Holmes distinguishes itself with strong automation and cognitive features, streamlining complex operations to enhance efficiency and lower costs. Its predictive analytics also support preemptive problem-solving, elevating both operational efficiency and client contentment, making it a vital tool for businesses aiming for innovation and competitiveness.

Cons: Wipro Holmes faces challenges with limited market visibility and a complex setup. Mainly known within Wipro’s client base, it struggles with broader market adoption. Organizations may find its full potential locked behind a need for direct partnerships with Wipro, adding logistical and financial complexities for those seeking standalone AI solutions.

Primary Programming Languages: Python, Java, JavaScript/Node.js, SQL

NVIDIA AI

Nvidia AI

Features: NVIDIA’s AI development, powered by robust GPUs, offers specialized suites for deep learning and analytics. Capable of managing extensive datasets and intricate algorithms, it aids in improving image and speech recognition, along with natural language processing. This integration of GPU technology with AI ensures rapid, efficient data handling, crucial for AI-focused ventures.

Pros: NVIDIA’s advanced GPUs provide immense computational power, crucial for AI innovation. Their technology enables quicker AI model development and complex computations, significantly benefiting data scientists and developers. This accelerates AI advancements and enhances productivity through tools like CUDA.

Cons: The primary drawback of NVIDIA’s AI offerings is their significant hardware and expertise investment, making them more suitable for large or specialized entities heavily engaged in AI research. This requirement may pose challenges for smaller businesses or those newer to AI, emphasizing a gap between high-level AI research and broader business applications.

Primary Programming Languages: CUDA, Python, C/C++, TensorRT 

OpenAI

Open AI

Features: OpenAI stands as a cutting-edge research laboratory in AI, focusing on ensuring that artificial general intelligence (AGI) benefits all of humanity. With projects like GPT (Generative Pre-trained Transformer) series, it’s at the forefront of natural language processing, offering tools that can understand, generate, and translate text with remarkable accuracy. OpenAI’s commitment to ethical AI development is also notable, aiming to advance AI technologies within a framework that prioritizes safety and societal benefits.

Pros: OpenAI’s innovations, such as GPT-3, have revolutionized the way businesses and individuals interact with AI, providing capabilities that range from drafting emails to generating code. Its open-source approach encourages widespread adoption and community-driven improvement, making cutting-edge AI more accessible to a broader audience.

Cons: While OpenAI democratizes access to advanced AI capabilities, its powerful models come with risks of misuse, including generating misleading information or automating tasks in a way that could disrupt job markets. Furthermore, the computational resources required to train and run these large models may pose accessibility challenges for smaller organizations or researchers with limited budgets.

Primary Programming Languages: Python, C++, and JavaScript

Conclusion

When assessing AI platforms, it’s crucial to align with your organization’s specific requirements, focusing on user experience, scalability, and smooth integration. Consider both the strengths and limitations of each option, bearing in mind the dynamic nature of AI technology. The ideal choice will not only meet your current needs but will also adapt and evolve, driving your business toward greater efficiency and innovation.

What Are the Real Differences?: Spotify and Apple Music Compared

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Portable music has evolved over the last four decades, from the invention of the Walkman in 1979 to the discontinuation of Apple’s iPod in 2022, as smartphones are now the preferred choice of listening to music. If you’ve ever put on a pair of headphones to listen to music on-the-go, or connected your phone to your car, it’s likely that you’re opening your favorite music streaming app on your phone and pressing “play”. The two main players in this space are Spotify and Apple Music. But what are the differences?

DIFFERENCES IN STREAMING

Spotify currently offers over 82 million songs while Apple Music offers over 100 million songs. Both services provide songs in any genre, from almost any country imaginable. Depending on one’s plan, songs can be saved to their music libraries and accessed both online and offline. Users can also create their own custom playlists. Spotify has an edge and allows the option to create collaborative playlists between its users, who are primarily younger adults.

Spotify tracks the types of music their users listen to and create personalized playlists based on their listenings. Earlier this year they released the DJ, a personalized AI guide that knows their users music tastes and chooses what to play. Similar to Spotify, Apple Music’s algorithm curates songs based on users’ listening habits. Apple Music also allows users to ask Siri to put on a song, genre, or artist of their choice which adds a layer of convenience.

For that time when you have a song stuck in your head, but can’t remember its name, both services allow users to search for a song based on lyrics alone. They also both display a song’s lyrics while playing.

DIFFERENCES FOR PODCASTS

Maybe you’re about to put on the highly-anticipated new episode of your favorite podcast– here are the differences?

Conveniently, Spotify hosts all of its podcasts within the same app as its music. Users can preview an episode of the podcast by accessing the “Podcasts and Shows” section of its app. Here, a user’s favorite podcasts (and new episodes of the podcast) will appear first, followed by algorithm-based recommendations. It’s easy to search for a podcast or show in the search bar, as well.

While Apple shares similar features to Spotify, it separates podcasts from Apple Music within a separate app – Apple Podcasts. This is something to take into consideration if you prefer having one central app for your listening needs.

DIFFERENCES IN SOUND QUALITY

Both Spotify and Apple Music stream in high quality, but Apple Music offers the option (at no extra cost) to listen to its entire inventory in lossless audio compression. The majority of audio compression techniques lose some data from the original source file. Lossless compression preserves all of the data. Spotify does not offer its entire catalog in lossless audio.

Apple Music offers listening in Dolby Atmos which creates a three-dimensional audio experience through compatible stereo headphones and speakers. Select tracks and albums are identified by the Dolby Atmos badge (two semi-circles facing one another).

Spotify has a graphic equalizer (EQ) setting that allows users to customize their sound by changing bass effects. Apple Music has an equalizer as well and can be accessed through your device’s (Settings > Music > Audio > EQ). Currently, there is no equalizer in Apple Music for Android.

HOW MUCH DOES IT COST?

Cost is a factor that can’t be ignored. On July 24, 2023, Spotify announced that it would be increasing its subscription pricing for the first time since 2011. Its Premium prices, which started at $9.99, are now the same as Apple Music’s (aside from a couple of differing plan options).

Spotify Pricing (as of July 24, 2023):

  • Premium Individual – $10.99/month (previously $9.99/month)
  • Premium Duo (allows for two users under one plan, designed with couples in mind)- $14.99/month
  • Premium Family (allows for up to six users, residing at the same address, under one account) – $16.99/month
  • Premium Student – $5.99/month

Apple Music Pricing

  • Voice – $4.99/month
  • Individual – $10.99/month
  • Family (allows for up to six users, in the same region, under one account) – $16.99/month
  • Student – $5.99/month

What about free options? Spotify offers a free service with ads and a limited number of skips for songs. Apple Music does not offer a free service, but does offer free trials to its plans. Its lowest plan is Voice, which has limitations such as the ability to download songs to your library for offline listening.

HOW MANY WAYS CAN YOU LISTEN?

Apple Music and Spotify are found in the iOS and Android app stores. However, currently Spotify is available on more platforms than Apple Music. Spotify users can currently be accessed through Mac OS, Windows, iOS, Android, tablets, and TVs. A number of car companies have a builtin Spotify feature, like Jaguar Land Rover, Volvo, BMW, MINI, TESLA, and GMC. Spotify is also accessible through Apple CarPlay.

Spotify has seamless cross-device playing, allowing users to play music in “Multi Mode” from the app when connected to a speaker or other audio system through WiFi. “Multi Mode” connects multiple speakers to play synchronized music simultaneously.

Apple Music is currently available on iTunes, iOS, Android, and Apple CarPlay. The ability to cross-play from any device exists for Apple Music as well, as long as the devices are all under the same Apple ID.

Both Spotify and Apple Music offer desktop listening. Spotify’s streaming service was available on desktop before its mobile app was created. It’s available for Windows and Mac. Recently, in June 2023, Spotify made some key changes to its desktop version to improve user experience. Notably, “Your Library” is on the left-hand side of the app and makes it easier to find and switch between playlists. “Now Playing” is on the right-hand side. Also in this panel are artist info (depending on the song), possible tour dates and merch links, as well as the current queue. Both of these panels are adjustable by size.

Apple Music’s desktop app features its “Listen Now”, “Browse”, “Radio”, “Library”, and “Playlists” options in its side bar, which can be adjusted to become more compact in size. Apple Music also has a mini player option. Another convenient feature of Apple Music is that it houses songs previously saved in an iCloud Music Library in the app library. Apple Music is available and fully supported for Mac, but its Windows desktop app is a “preview” or native app. Apple Music for Windows does not have all of the features as Apple Music for Mac. Some Windows users have also reported that the search feature is slower in the native app than the supported app or online version.

SOCIAL MEDIA

Anyone that opens their Instagram, Facebook, or Twitter near the end of each year, will likely see different Wrapped playlists all over their friends’ stories or posts. Spotify holds a larger social media presence than Apple Music. Spotify has 10.2M Instagram followers, 12M Twitter followers, and 23M Facebook Likes. Spotify is consistently posting across its platforms for new song releases, artist updates, top track lists, artist interviews, and memes. Its social media pages primarily target Gen Z and Millenials.

Apple Music has 4.6M Instagram followers, 10.2M Twitter followers, and 3.9M Facebook Likes. Its Instagram and Facebook numbers are significantly lower than Spotify’s. Apple Music also posts frequently and shares artist interviews, new song releases, and exclusive content. Its pages target a wider audience. The posts aren’t geared towards just young adults but older adults, as well.

TAKEAWAYS

Both services share similarities when it comes to the music selection offered, though Apple Music hosts about 20 million more songs than Spotify. Both allow for saving songs to libraries, creating playlists, searching for songs by lyrics, and lyric display per song. Spotify, available through more platforms, has an equalizer, has podcasts within the app and an ad-based free option. Apple Music hosts podcasts separately but has lossless compression and Dolby Atmos options for its sound. Apple Music has an equalizer for iOS and Mac devices only.

Spotify has a desktop app that is designed for both Windows and Mac and improves the app for user functionality. Apple Music’s desktop app is not fully compatible with Windows and is in its native phase, which has caused some users to complain. Spotify also has a greater social media presence than Apple Music, as its target audience is young adults.

When it comes down to picking your streaming platform, it may be because you prefer one type of device over the other, you favor a certain type of sound quality, or a specific functionality feature sticks out to you. All in all both platforms are great and will certainly be increasing their libraries and functionalities as time moves on.

Mystic Media Announced as a 2022 Local Excellence Award Winner by UpCity!

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For more than a decade, UpCity’s mission has been—and continues to be—to help businesses find B2B service providers they can trust. The UpCity Recommendability Rating was developed to determine a service provider’s credibility and recommendability, giving UpCity the confidence to recommend them to the more than 2 million businesses that visit their site.

Each year, UpCity analyzes and scores more than 70,000 service providers based on their UpCity Recommendability Rating and acknowledges the top national and local providers with an UpCity Excellence Award. The results are in, and we won!

We are proud to announce that the Mystic Media team has been recognized as one of the top B2B service providers of 2022 in the Salt Lake City area by UpCity!

Joe Banks, SVP of Engineering at UpCity, had this to say about Mystic Media:

“The team at Mystic Media brings decades of combined experience and quality that helps them stay ahead of the curve in all things digital. We are proud to recognize them with a 2022 Local Excellence Award. Congratulations!” —Joe Banks, SVP of Engineering, UpCity

This recognition has been driven in large part by our 4.9-star review rating on UpCity. Here are a few of our favorite pieces of feedback we’ve received from our incredible customers:

      • “This was a joint effort where we developed the hardware interface between our controller and Mystic Media developed the iOS app. Consequently, there was a lot of information exchange and testing during the process. The basic user interface was completed by Mystic Media in very short order. The rest of the development was the implementation of the various inputs and outputs. The interface retrieves and passes to the door controller via an RS485 communication port. The commands the app sends to the controller via the interface are in hexadecimal. I was very pleased with the speed and efficiency of the development and the ‘can do’ attitude of Mystic Media. They are very professional, respectful, and easy to work with. I would use them again.” – Carl Goodman, June 2021
      • “We hired Mystic for a large and complex project and are very happy with our experience. We were well out of our element with only an idea and a rough one at that. Their creative and knowledgeable team took our idea and pulled us into a process that was efficient and truly felt like a partnership. They care and want to help us see our vision through. We are currently very close to completion and I look forward to them being a valuable part of our journey forward!” – Russell Taylor, June 2021

Throughout the changes our industry has seen, the one thing that never gets old is seeing our clients succeed. We are so grateful for the collaboration opportunities we’ve had over the years and are honored to receive this recognition. 

Learn more about the UpCity Excellence Awards.

Stay Ahead of Your Competition with the Top Digital Marketing Trends of 2022

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In an era of rapid technological acceleration, every year brings new avenues to market services and methods to boost sales. While the metaverse lurks on the horizon, it’s still in the developmental stage. Meanwhile, the current digital marketing landscape has evolved significantly within the past few years. Software developers and business owners must keep up on the latest trends in order to ensure that they don’t fall behind their competitors.

Here are some of the biggest trends in digital marketing today:

PERSONALIZATION

Success in digital marketing is increasingly dependent on how companies collect data and leverage it toward personalized ads. Studies show personalization can deliver five to eight times the ROI on marketing spend.

Personalization at its most basic level entails targeting users based on their demographic or location. For example, Guinness created a hyper-localized ad campaign which incorporated a unique Facebook ad for every Guinness venue in the UK and Ireland. Over 30,000 localized video ads for over 2,500 bars were updated dynamically based on the rugby matches playing at a given time.

Personalization relies on three tenets: data discovery, automated decision-making, and content distribution. Major corporations like Amazon leverage more extensive data with automated decision-making dictated by robust AI algorithms. Netflix’s complex viewing algorithms determine what users may like to view next based on their past viewing habits. The result is not only improved user experience, but a more personal relationship with the brand.

SOCIAL COMMERCE

Projections from Accenture show social commerce will reach $1.2 trillion globally by 2025—about 300% faster than traditional ecommerce. Gen Z and Millennials will be the biggest spenders, accounting for 62% of social revenue by 2025. Platforms are working behind the scenes to improve customer experience by creating payment methods without leaving social media apps. Two major social platforms to watch are TikTok and Youtube.

TikTok usage has risen rapidly and reached 1 billion users and counting. Engagement has been titanic with users in the United States spending up to 850 hours per month on the app. It was the top earning non-gaming app in 2021 with $110 million spent by users and its potential will only grow as influencers earn huge amounts through sponsorship deals. TikTok is not just for Gen Z, it’s a rapidly growing network and brands are taking advantage by offering influencers huge amounts of money for branded content.

As brands move their investment in traditional TV models toward streaming, one platform which stands to benefit is Youtube. Global revenue for the video streaming channel soared to $29 billion, a 46% increase from 2020. Youtube is beginning to attract more traditional TV advertisers and consequentially, their ad business is nearly matching Netflix in revenue. While revenue is ascending, there remains significant headroom for major brands to up their investment in Youtube advertising as traditional cable models phase out.

IN-GAME ADVERTISING

Just over 50% of global revenue in the gaming industry is driven by mobile games. With gaming reaching a growth rate higher than all other entertainment industries, brands are looking to in-game advertising as a way of reaching a larger audience.

The gaming demographic has recently reached a 50-50 split between men and women. Contrary to most preconceptions, in-game advertising will help you reach a wider audience of both men and women. In-game advertising not only reaches a wider audience, it makes it easy to track click-throughs and analytics. Extensive analytics enable brands to collect very precise data about their customers and foster a deeper understanding of their habits.

Playable ads have arisen as a major hallmark for brands to market their games. Playable ads are interactive and encourage the user to try a snippet of functionality from the game. Check out the examples in the video below by Vungle.

CONCLUSION

Brands need to move as fast as the times if they hope to stay on the forefront of their industry. In the era of big data, the bigger your brand, the more possibilities digital marketing entails. As AI becomes more accessible, businesses of all sizes are wise to take advantage of the digital landscape and find ways to offer a more personal experience for their customers.

How Business Owners Can Leverage the Metaverse to Turn a Profit

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As many have heard, Facebook’s highly publicized rebranding as Meta in 2021 signaled their long-term expansion from social media into VR, the metaverse, and more. In the process, they launched the metaverse into a household name technology. The $500 million virtual real estate boom which proceeded only further hammered the point home—as far as Meta is concerned, the metaverse is the future. With VR and AR technologies developing at an astounding rate, businesses are entering the metaverse intent on generating revenue while the technology remains in its nascent stage.

The metaverse is here to stay—the question for business owners is: how can one take advantage of it? There is a long list of apps that use AR features to enhance the shopping experience. Sephora’s Virtual Artist app enables users to view how makeup will look before trying it on. The Ikea Place application enables users to view how furniture will look in their house before they place them.

The big question is: should you as a business owner delve into the metaverse? And if so, how can you leverage a metaverse presence to generate commerce? In this week’s blog, we present a few ideas to consider when making your decision.

REAL ESTATE

The first step to a metaverse presence is the acquisition of a virtual space for the business. Luckily, metaverse real estate has proven to be an extraordinarily profitable investment in and of itself. Armando Aguilar told Coindesk recently that the price of his three-bedroom, two-bathroom home outside New York City has appreciated two and a half times, while his metaverse property surged by 1,400% during that same time.

When purchasing real estate within the metaverse, consider which platform you’d like to see your company grow in. There’s a long list of options, from Sandbox to Decentraland, each with their own pros and cons.

When choosing a platform, consider which platform will provide the most short-term gains for your customers. Where do you anticipate long-term value? Investing wisely will lead to revenue as the price of virtual property rises.

For a list of the top metaverse platforms, check out XR Today’s list of the top metaverse platforms to watch in 2022.

EXPAND YOUR PHYSICAL PRESENCE

The metaverse presents an opportunity for companies to translate their brand into a virtual experience. Similar to the early aughts of the internet, companies which fail to capitalize on the new channel may lose money to companies that adopted the metaverse faster.

The metaverse differs from the internet in that it enables businesses to replicate three dimensional, physical spaces. This is a huge leap as we are physical beings and crave physical experiences.

While nothing can replace the physical retail experience, a great deal of commerce is generated by monetizing convenience. Delivery services like Amazon and Seamless generate billions of dollars in revenue by offering a variety of products to their customers through their digital presence, cutting out the need to stray from the home.

The metaverse capitalizes on our desire for physical experiences while enabling us to access them from the comfort of our couch. Rather than recreate their websites, businesses need to think about how they can create a physical experience for their customers.

Five years down the line, businesses will likely require a team of consultants and developers to build the metaverse experience. Check out the video below showing how Walmart created a physical shopping experience in the metaverse.

NFTs AND THE METAVERSE

Commerce in the metaverse will incorporate cryptocurrency and NFTs. NFTs, or nonfungible tokens, are unique digital files which function as certificates of ownership verified by the blockchain. They can be associated with any number of things—from sneakers, to songs and works of art. Although the market shows volatility similar to cryptocurrency, NFT value can appreciate by quite a bit.

NFTs represent a new buying channel that’s crucial to the metaverse. Creating exclusive experiences in the metaverse will draw your customers in.

https://twitter.com/adidasoriginals/status/1466443459951271939?s=20&t=toF7uzgidxO5yDtR3M9u5Q

Offering exclusive NFTs is a way to both create value and boost engagement with your customers. Adidas recently took advantage of this, generating over $23 million in ethereum in their first NFT drop.

Consider incorporating NFT’s alongside physical product drops. For example, offer an NFT to customers who enter the metaverse to make early pre-orders of future releases.

The metaverse is an opportunity to drive engagement and create value by offering personalized, exclusive experiences to your customers. NFTs are the perfect method to achieve this.

CONCLUSION

The metaverse poses a business opportunity for enterprises unafraid of innovation. What kind of experience can you deliver to your customers in the metaverse that you cannot in any other realm? Businesses which manage to answer that question will be rewarded with long-term profit.

How the Internet of Behaviors Will Shape the Future of Digital Marketing

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In the digital age, businesses need to leverage every possible platform and cutting-edge technology in order to get a leg up on the competition. We’ve covered the Internet of Things extensively on the Mystic Media blog, but a new and related tech trend is making waves. This trend is called the Internet of Behaviors and according to Gartner, about 40% of people will have their behavior tracked by the IoB globally by 2023.

WHAT IS THE IOB?

Internet of Behavior, or the IoB, exists at the intersection of technology, data analytics, and behavioral science. The IoB leverages data collected from a variety of sources, including online activities, social media, wearable devices, commercial transactions and IoT devices, in order to deliver insights related to consumers and purchasing behavior.

With devices more interconnected than ever, the IoB tracks, gathers, combines and interprets massive data sets so that businesses can better understand their consumers. Businesses leverage analysis from the IoB to offer more personalized marketing with the goal of influencing consumer decision making.

HOW DOES IT WORK?

Traditionally, a car insurance company would analyze a customer’s driving history in order to determine if they are a good or bad driver. However, in today’s digital age, they might take it a step further and analyze social media profiles in order to “predict” whether a customer is a safe driver. Imagine what insights they could gather from a user’s Google search history or Amazon purchases? Access to large datasets enables large companies to create psychographic profiles and gather an enhanced understanding of their customer base.

Businesses can use the IoB for more than just purchasing decisions. UX designers can leverage insights to deliver more effective customer experiences. Large companies such as Ford are designing autonomous vehicles that change based on the city, modulating behavior based on vehicle traffic, pedestrians, bicycles and more.

GBKSOFT created a mobile application that collects data from wearable devices in order to help golfers improve their skills. The application records each golf ball hit, including the stroke, force, trajectory and angle, and delivers visual recommendations to improve their swing and technique. Insights gathered through data are translated into behavioral trends that are then converted into recommendations to improve the user’s game.

The IoB is all about collecting data that can be translated into behavior which helps companies understand consumer tendencies and translate them into meaningful actions.

CONCERNS

While there is quite a bit of enthusiasm surrounding the potential impact of the IoB for B2C companies, a number of legal concerns come with it. A New York Times article, written by Harvard Business School emeritus professor Shoshana Zuboff, warns of the age of surveillance capitalism where tech behemoths surveil humans with the intent to control their behavior.

Due to the speed at which technology and the ability to collect data has proliferated, privacy and data security are under-regulated and major concerns for consumers. For example, Facebook was applying facial recognition scans in advance of the 2016 election without user’s consent. Cambridge Analytica’s use of psychoanalytic profiles has been the subject of much derision. Momentum for data privacy regulation is growing and since the IoB hinges on the ability for companies to collect and market data, forthcoming regulations could inhibit its impact.

CONCLUSION

Despite regulatory concerns, the IoB is a sector that we expect to see grow over time. As the IoT generates big data and AI evolves to learn how to parse through and analyze it, it’s only natural that companies will take the next step to leverage analysis to enhance their understanding of their customers’ behaviors and use it to their advantage. The IoB is where that next step will take place.

Top Mobile Marketing Trends Driving Success in 2021

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Mobile app marketing is an elusive and constantly evolving field. For mobile app developers, getting new users to install games is relatively cheap at just $1.47 per user, while retaining them is much more difficult. It costs on average $43.88 to prompt a customer to make an in-app purchase according to Liftoff. An effective advertising strategy will make or break your UI—and your bank. In 2019, in-game ads made up 17% of all revenue. By 2024, that number is expected to triple.

2020 was a year that saw drastic changes in lifestyle—mobile app users were no exception. What trends are driving app developers to refine their advertising and development tactics in 2021? Check out our rundown below.

Real Time Bidding

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In-app bidding is an advanced advertising method enabling mobile publishers to sell their ad inventory in an automated auction. The technology is not new—it’s been around since 2015 when it was primarily used on a desktop. However, over the past few years, both publishers and advertisers have benefited from in app-bidding, eschewing the traditional waterfall method.

In-app bidding enables publishers to sell their ad space at auction. Advertisers simultaneously bid against one another. The dense competition enables a higher price (CPM) for publishers. For advertisers, bidding decreases fragmentation between demand sources since they can bid on many at once. In the traditional waterfall method, ad mediation platforms prioritize ad networks they’ve worked with in the past before passing it on the premium ad networks. In-app bidding changes the game by enabling publishers to offer their inventory to auctions which include a much wider swath of advertisers beyond the traditional waterfall.

Bidding benefits all parties. App publishers see increased demand for ad inventory, advertisers access more inventory, and app users see more relevant ads. In 2021, many expect in-app bidding to gain more mainstream popularity. Check out this great rundown by AdExchanger for more information on this exciting new trend.

Rewarded Ads Still King

rewarded ad

We have long championed rewarded ads on the Mystic Media blog. Rewarded ads offer in-game rewards to users who voluntarily choose to view an ad. Everyone wins—users get tangible rewards for their time, publishers get advertising revenue and advertisers get valuable impressions.

App usage data from 2021 only increases our enthusiasm for the format. 71% of mobile gamers desire the ability to choose whether or not to view an ad. 31% of gamers said rewarded video prompted them to browse for products within a month of seeing them. Leyi Games implemented rewarded video and improved player retention while bringing in an additional $1.5 million US.

Facebook’s 2020 report showed that gamers find rewarded ads to be the least disruptive ad format, leading to longer gameplay sessions and more opportunities for content discovery.

Playable Ads

Playable ads have emerged as one of the foremost employed advertising tactics for mobile games. Playable ads enable users to sample gameplay by interacting with the ad. After a snippet of gameplay, the ad transitions into a call to action to install the game.

The benefits are obvious. If the game is fun and absorbing to the viewer, it has a much better chance of getting installed. By putting the audience in the driver’s seat, playable ads drive increased retention rates and  a larger number of high lifetime value (LTV) players.

Check out three examples of impactful playable ads compiled by Shuttlerock.

Short Ads, Big Appeal

As we are bombarded with more and more media on a daily basis, finding a way to deliver a concise message while cutting through the clutter can be exceptionally difficult. However, recent research from MAGNA, IPG Media Lab, and Snap Inc. shows it may be well worth it.

Studies show short-form video ads drive nearly identical brand preference and purchase intent as 15 second ads. Whereas short form ads were predominantly employed to grow awareness, marketers now understand that longer ads are perceived by the user as more intrusive, and they can get just as much ROI out of shorter and less expensive content.

Check out the graph below, breaking down the efficacy of 6 second vs. 15 second ads via Business of Apps.

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Conclusion

Mobile advertisers need to think big picture in terms of both their target customer and how they format their ads to best engage their audience. While the trends we outlined are currently in the zeitgeist, ultimately what matters most is engaging app users with effective content that delivers a valuable message without intruding on their experience on the app.

For supplementary reading on mobile marketing, check out our blog on the Top Mobile Ad Platforms You Need to Know for 2021

Learn More About Triggering Augmented Reality Experiences with AR Markers

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We expect a continued increase in the utilization of AR in 2021. The iPhone 12 contains LiDAR technology, which enables the use of ARKit 4, greatly enhancing the possibilities for developers. When creating an AR application, developers must consider a variety of methods for triggering the experience and answer several questions before determining what approach will best facilitate the creation of a digital world for their users. For example, what content will be displayed? Where will this content be placed, and in what context will the user see it?

Markerless AR can best be used when the user needs to control the placement of the AR object. For example, the IKEA Place app allows the user to place furniture in their home to see how it fits.

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Location-based AR roots an AR experience to a physical space in the world, as we explored previously in our blog Learn How Apple Tightened Their Hold on the AR Market with the Release of ARKit 4. ARKit 4 introduces Location Anchors, which enable developers to set virtual content in specific geographic coordinates (latitude, longitude, and altitude). To provide more accuracy than location alone, location anchors also use the device’s camera to capture landmarks and match them with a localization map downloaded from Apple Maps. Location anchors greatly enhance the potential for location-based AR; however, the possibilities are limited within the 50 cities which Apple has enabled them.

Marker-based AR remains the most popular method among app developers. When an application needs to know precisely what the user is looking at, accept no substitute. In marker-based AR, 3D AR models are generated using a specific marker, which triggers the display of virtual information. There are a variety of AR markers that can trigger this information, each with its own pros and cons. Below, please find our rundown of the most popular types of AR markers.

FRAMEMARKERS

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The most popular AR marker is a framemarker, or border marker. It’s usually a 2D image printed on a piece of paper with a prominent border. During the tracking phase, the device will search for the exterior border in order to determine the real marker within.

Framemarkers are similar to QR Codes in that they are codes printed on images that require handheld devices to scan, however, they trigger AR experiences, whereas QR codes redirect the user to a web page. Framemarkers are a straightforward and effective solution.

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Framemarkers are particularly popular in advertising applications. Absolut Vodka’s Absolute Truth application enabled users to scan a framemarker on a label of their bottle to generate a slew of more information, including recipes and ads.

GameDevDad on Youtube offers a full tutorial of how to create framemarkers from scratch using Vuforia Augmented Reality SDK below.

 

NFT MARKERS

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NFT, or Natural Feature Tracking, enable camera’s to trigger an AR experience without borders. The camera will take an image, such as the one above, and distill down it’s visual properties as below.

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The result of processing the features can generate AR, as below.

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The quality and stability of these can oscillate based on the framework employed. For this reason, they are less frequently used than border markers, but function as a more visually subtle alternative. A scavenger hunt or a game employing AR might hide key information in NFT markers.

Treasury Wine Estates Living Wine Labels app, displayed above, tracks the natural features of the labels of wine bottles to create an AR experience which tells the story of their products.

OBJECT MARKERS

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The  toy car above has been converted into an object data field using Vuforia Object Scanner.

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Advancements in technology have enabled mobile devices to solve the issue of SLAM (simultaneous localization and mapping). The device camera can extract information in-real time, and use it to place a virtual object in it. In some frameworks, objects can become 3D-markers. Vuforia Object Scanner is one such framework, creating object data files that can be used in applications for targets. Virtual Reality Pop offers a great rundown on the best object recognition frameworks for AR.

RFID TAGS

Although RFID Tags are primarily used for short distance wireless communication and contact free payment, they can be used to trigger local-based virtual information.

While RFID Tags are not  widely employed, several researchers have written articles about the potential usages for RFID and AR. Researchers at the ARATLab at the National University of Singapore have combined augmented reality and RFID for the assembly of objects with embedded RFID tags, showing people how to properly assemble the parts, as demonstrated in the video below.

SPEECH MARKERS

Speech can also be used as a non-visual AR marker. The most common application for this would be for AR glasses or a smart windshield that displays information through the screen requested by the user via vocal commands.

CONCLUSION

Think like a user—it’s a staple coda for app developers and no less relevant in crafting AR experiences. Each AR trigger offers unique pros and cons. We hope this has helped you decide what is best equipped for your application.

In our next article, we will explore the innovation at the heart of AIoT, the intersection of AI and the Internet of Things.

How to Leverage AR to Boost Sales and Enhance the Retail Experience

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The global market for VR and AR in retail will reach $1.6 billion by 2025 according to research conducted by Goldman Sachs. Even after years of growing popularity, effectively employed Augmented Reality experiences feel to the end-user about as explicitly futuristic as any experience created by popular technology.

We have covered the many applications for AR as an indoor positioning mechanism on the Mystic MediaTM blog, but when it comes to retail, applications for AR are providing real revenue boosts and increased conversion rates.

Augmented Reality (AR) History

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While working as an associate professor at Harvard University, computer scientist Ivan Sutherland, aka the “Father of Computer Graphics”, created an AR head-mounted display system which constituted the first AR technology in 1968. In the proceeding decades, AR visual displays gained traction in universities, companies, and national agencies as a way to superimpose vital information on physical environments, showing great promise for applications for aviation, military, and industrial purposes.

Fast forward to 2016, the sensational launch of Pokemon GO changed the game for AR. Within one month, Pokemon GO reached 45 million users, showing there is mainstream demand for original and compelling AR experiences.

Cross-Promotions

Several big brands took advantage of Pokemon GO’s success through cross-promotions. McDonald’s paid for Niantic to turn 3,000 Japan locations into gyms and PokeStops, a partnership that has recently ended. Starbucks took advantage of Pokemon GO’s success as well by enabling certain locations to function as PokeStops and gyms, and offering a special Pokemon GO Frappucino.

One of the ways retailers can enter into the AR game without investing heavily in technology is to cross-promote with an existing application.

In 2018, Walmart launched a partnership with Jurassic World’s AR game: Jurassic World Alive. The game is similar to Pokemon GO, using a newly accessible Google Maps API to let players search for virtual dinosaurs and items on a map, as well as battle other players. Players can enter select Walmart locations to access exclusive items.

Digital-Physical Hybrid Experiences

The visual augmentation produced by AR transforms physical spaces by leveraging the power of computer-generated graphics, an aesthetic punch-up proven to increase foot traffic. While some retailers are capitalizing on these hybrid experiences through cross-promotions, others are creating their own hybrid experiential marketing events.

Foot Locker developed an AR app that used geolocation to create a scavenger hunt in Los Angeles, leading customers to the location where they could purchase a pair of LeBron 16 King Court Purple shoes. Within two hours of launching the app, the shoes sold out.

AR also has proven potential to help stores create hybrid experiences through indoor navigation. Users can access an augmented view of the store through their phones, which makes in-store navigation easy. Users scan visual markers, recognized by Apple’s ARKit, Google’s ARCore, and other AR SDKs, to establish their position, and AR indoor navigation applications can offer specific directions to their desired product.

Help Consumers Make Informed Choices

Ikea Place Screenshots

AR is commonly employed to enrich consumers’ understanding of potential purchases and prompt them to buy. For example, the “IKEA Place” app allows shoppers to see IKEA products in a superimposed graphics environment. IKEA boasts the app gives shoppers 98% accuracy in buying decisions.

Converse employs a similar application, the “Converse Sampler App”, which enables users to view what a shoe will look like on their feet through their device’s camera. The application increases customer confidence, helping them make the decision to purchase.

Treasury Wines Estates enhances the consumer experience with “Living Wine Labels”: AR labels that bring the history of the vineyard to life and provide users with supplementary information, including the history of the vineyard the wine came from and tasting notes.

Conclusion

AR enables striking visuals that captivate customers. As a burgeoning tool, AR enables companies to get creative and build innovative experiences that capture their customers’ imagination. Retailers who leverage AR will seize an advantage both in the short term and in the long term as the technology continues to grow and evolve.

How to Craft the Perfect Instagram Story Strategy to Promote Your Business

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Instagram introduced the Story function to their platform in August 2016. Replicating Snapchat, the Instagram Story offers ephemeral visual content that disappears 24 hours after posting it.

As with the introduction of any new tool on social media, the first question a business must ask itself is: How can we leverage this new platform to promote our company, product or services?

Here are some tips to help you craft the perfect Instagram Story strategy:

GIVE A BEHIND-THE-SCENES LOOK

Instagram users expect the most touched-up and polished visual content to show up on the feed. Part of the appeal of the Instagram Story is that it offers a deeper, less polished look into the day-to-day life of the account.

Musicians take advantage of Instagram Stories by previewing snippets of new music on their stories. The fact that these stories will disappear activates a fan’s FOMO (Fear Of Missing Out). If they see one of their favorite artists post to their story, they feel obligated to watch it or else they will miss out on exclusive music, otherwise they may have to wait months for an official release. Thus, it both offers a behind the scenes look and incites users to return to view more stories.

FOMO

FOMO, or Fear of Missing Out, is a form of anxiety triggered by missing an opportunity. For example, when considering whether to go to an office party or a concert, one may be more driven to go because one doesn’t want to miss out on fun than wanting to enjoy the experience.

The ephemeral nature of the Instagram Story makes FOMO a major psychological factor determining whether a user elects to watch a story or not. If the user does not watch the story, they will never see the content. Businesses want to offer exclusive deals and content through their story that are not available anywhere else. Consumers who watch stories with exclusive deals and content are thereby rewarded and are more likely to watch them in the future to get more deals.

Incorporating exclusive deals will draw more users to watch your business’s Story because—well, it’ll make them afraid of missing out. Check out Psychology Today’s deep dive into FOMO.

KEEP IT FUN, KEEP IT LIGHT, KEEP IT MOVING

Take your Instagram Story on the road. Vary up the locations where you post and it will create more excitement as users will know to expect the unexpected when they view your story. Keep it light, give it some humor. Your Instagram Story should contain content that lightens the mood and makes viewers want to return.

MAKE IT A REAL STORY

Stories have a beginning, middle and end. Instagram Stories can conform to that structure as well! If an employee is going to a convention, have them document it in their story with an introduction post explaining their agenda for the day (beginning), videos of the most salient moments of the convention (middle), and a final post that wraps everything up and summarizes what they’ve gleaned (end).

Using storytelling techniques will keep users engaged in your feed and help Stories retain viewers from beginning to end.

ANALYTICS

Reviewing analytics and evaluating the metrics is a key process in evaluating your Story’s success. Use the Insights tab to see how many views your story received, how many shares, replies, profile visits, and how long users are watching your story to evaluate its success.

One of the key analytics is Completion Rate: what percentage of users watched your story from beginning to end? Evaluating completion rate, as well as Taps Forward, which shows when users tapped forward on a slide to see the next image, will help you determine whether your ideal posts per day are 2 or 12.

BE CONSISTENT

Consistency is key in social media. It takes time to develop a voice and even more time and effort to develop an audience. With a combination of a good strategy, solid content, and consistency, your business can leverage Instagram Stories to entice your customers and expand its reach.